Bulk switching instrumentation amplifier for a high-impedance source in neural signal recording

Myungjin Han, Boram Kim, Yi An Chen, Hyojung Lee, Seung Han Park, Eunji Cheong, Jongill Hong, Gunhee Han, Youngcheol Chae

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Flicker noise is the most crucial issue in an instrumentation amplifier (IA) for neural recordings because low-frequency neural signals overlap with the frequency of the amplifier's flicker noise. A Chopping technique, often used to reduce the flicker noise, is not desirable for high-impedance input sources due to the charge injection and clock feedthrough from the MOSFETs of the input chopper to the signal source, resulting in a significant increase in the total input-referred noise. Whereas MOSFETs have less flicker noise at the moment of turning on, and the intrinsic flicker noise can be then reduced by turning on and off the MOSFETs in the IA. This brief proposes a bulk switching IA, which can avoid the input current noise. A prototype IA is implemented in a 65 nm CMOS occupying 0.053 mm2, and it achieves the input-referred noise of 0.74 μVrms (local field potential) for 100 k Ω source impedance, a 3.3 times reduction compared with that of the chopper IAs, while consuming only 3.96 μW from a 1.2 V supply.

Original languageEnglish
Article number6949641
Pages (from-to)194-198
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume62
Issue number2
DOIs
Publication statusPublished - 2015 Jan 1

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Charge injection
Clocks

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Bulk switching instrumentation amplifier for a high-impedance source in neural signal recording. / Han, Myungjin; Kim, Boram; Chen, Yi An; Lee, Hyojung; Park, Seung Han; Cheong, Eunji; Hong, Jongill; Han, Gunhee; Chae, Youngcheol.

In: IEEE Transactions on Circuits and Systems II: Express Briefs, Vol. 62, No. 2, 6949641, 01.01.2015, p. 194-198.

Research output: Contribution to journalArticle

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